In today’s data-driven world, the ability to harness advanced language models is crucial for organizations aiming to leverage their data for actionable insights. While many organizations excel at managing and analyzing structured data, they often overlook a treasure trove of information contained in unstructured data. This unstructured data—ranging from emails and social media posts to […]
We’ve already established the synergy of dbt & Databricks. However, adding data warehouse automation to the mix might be the missing link in the story. The combination of dbt & databricks provides a robust solution for streamlining data workflows and enhancing data lakehouse architectures. It leverages Databricks’ versatility in data processing and machine learning with […]
Organizations are increasingly reliant on data warehouses to store, manage, and analyze vast amounts of information. However, the success of a data warehouse hinges not only on the quality of the data but also on the effectiveness of its underlying data model. Effective data modeling lays the foundation for a robust data warehouse architecture, enabling […]
As data, and big data in particular, becomes more prevalent, so too do tools for storing, analysing, and transforming it. And thanks to the constantly evolving data landscape of the last few years, there has been a rush of new big data platforms that offer all-in-one solutions. The most recent of these platforms is Microsoft […]
Let’s talk about dbt (Data Build Tool) and Databricks. In our previous posts we have already talked about dbt and Databricks on their own, but what if we were to use these tools together? In this blog post, we’ll explore why the use of dbt and Databricks together is a great choice and will simplify […]
Data Streaming refers to the continuous process of transmitting, processing, and analyzing data in real-time as it is generated or received. It involves the constant flow of data from its source to its destination, where it can be processed, analyzed, and acted upon without significant delay, typically within milliseconds to seconds. Real-time data streaming is […]
A 360-degree customer view is a comprehensive understanding of a customer, achieved by integrating data from various touchpoints and systems, providing insights into their preferences, behavior, and needs. Challenges In today’s digitally-driven world, the ability to deliver a personalized and seamless customer experience has become a crucial competitive advantage for businesses. However, several challenges stand […]
Notebooks are widely used in data science and machine learning to develop code and present the results. Databricks notebooks facilitate real-time collaboration with colleagues, creating data science and machine learning workflows in multiple languages with built-in data visualizations. // WHAT The various possibilities that Databricks notebooks can be used for: Developing code using Python, SQL, […]
In one of our previous blogposts we discussed one of the most vital tools in the modern data stack, dbt. Once you have chosen to use dbt there are two questions that remains, which version should I use and what is the difference between the two? In this blogpost we will dive into the differences […]
With row-level security (RLS), you can restrict data access for given users. You can restrict data access at the row level but you are also able to define filters within roles. With the new update, keep in mind that it is still a preview, you can now quickly and easily define row-level security roles and […]
- 1
- 2
